{"id":4135,"date":"2023-07-13T08:45:51","date_gmt":"2023-07-13T08:45:51","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%82%e1%85%b3%e1%86%ab-%e1%84%83%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%90%e1%85%a5-%e1%84%91%e1%85%b3%e1%84%85%e1%85%a6%e1%84%8b%e1%85%b5%e1%86%b7-3\/"},"modified":"2023-07-13T08:45:51","modified_gmt":"2023-07-13T08:45:51","slug":"%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%82%e1%85%b3%e1%86%ab-%e1%84%83%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%90%e1%85%a5-%e1%84%91%e1%85%b3%e1%84%85%e1%85%a6%e1%84%8b%e1%85%b5%e1%86%b7-3","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%82%e1%85%b3%e1%86%ab-%e1%84%83%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%90%e1%85%a5-%e1%84%91%e1%85%b3%e1%84%85%e1%85%a6%e1%84%8b%e1%85%b5%e1%86%b7-3\/","title":{"rendered":"Pandas dataframe\uc774 \ube44\uc5b4 \uc788\ub294\uc9c0 \ud655\uc778\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"

<\/p>\n

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\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc774 \ube44\uc5b4 \uc788\ub294\uc9c0 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 len<\/span> ( df.index<\/span> ) ==<\/span> 0\n<\/span><\/strong><\/pre>\n
 \uc774 \ud2b9\uc815 \uad6c\ubb38\uc740 DataFrame\uc758 \uc778\ub371\uc2a4 \uc5f4 \uae38\uc774\uac00 0\uc778\uc9c0 \ud655\uc778\ud569\ub2c8\ub2e4. \uc774\ub294 \uc804\uccb4 DataFrame\uc774 \ube44\uc5b4 \uc788\ub294\uc9c0 \ud655\uc778\ud558\ub294 \uac83\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 DataFrame\uc774 \ube44\uc5b4 \uc788\uc73c\uba74 \uc774 \uad6c\ubb38\uc740 True \ub97c<\/strong> \ubc18\ud658\ud569\ub2c8\ub2e4. \uadf8\ub807\uc9c0 \uc54a\uc73c\uba74 False \ub97c<\/strong> \ubc18\ud658\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 DataFrame\uc774 \ube44\uc5b4 \uc788\ub294\uc9c0 \uc54c\ub824\uc8fc\ub294 \uc0ac\uc6a9\uc790 \uc815\uc758 \ud14d\uc2a4\ud2b8\ub97c \uc778\uc1c4\ud558\ub824\uba74 \uac04\ub2e8\ud55c if else<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 if<\/span> len<\/span> ( df.index<\/span> ) ==<\/span> 0<\/span> :\n    print<\/span> (' df is empty<\/span> ')\nelse<\/span> :\n    print<\/span> (' df is not empty<\/span> ')<\/strong><\/span><\/pre>\n
 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774\ub7ec\ud55c \uae30\ub2a5\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608: Pandas DataFrame\uc774 \ube44\uc5b4 \uc788\ub294\uc9c0 \ud655\uc778<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c\uacfc \uac19\uc740 \ube48 pandas DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#create empty DataFrame\n<\/span>df = pd. DataFrame<\/span> (columns=[' A<\/span> ',' B<\/span> ',' C<\/span> ',' D<\/span> ',' E<\/span> '])\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\nEmpty DataFrame\nColumns: [A, B, C, D, E]\nIndex: []<\/span><\/strong><\/pre>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec pandas DataFrame\uc774 \ube44\uc5b4 \uc788\ub294\uc9c0 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #check if DataFrame is empty<\/span>\nlen<\/span> ( df.index<\/span> ) ==<\/span> 0\n\nTrue<\/span><\/span><\/strong><\/pre>\n
 \uc774 \ud568\uc218\ub294 DataFrame\uc774 \uc2e4\uc81c\ub85c \ube44\uc5b4 \uc788\uc74c\uc744 \uc54c\ub824\uc8fc\ub294 True \ub97c<\/strong> \ubc18\ud658\ud569\ub2c8\ub2e4.<\/span><\/span><\/p>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec DataFrame\uc774 \ube44\uc5b4 \uc788\ub294\uc9c0 \uc5ec\ubd80\ub97c \uc54c\ub824\uc8fc\ub294 \uc0ac\uc6a9\uc790 \uc815\uc758 \ud14d\uc2a4\ud2b8\ub97c \uc778\uc1c4\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #check if DataFrame is empty and return output<\/span>\nif<\/span> len<\/span> ( df.index<\/span> ) ==<\/span> 0<\/span> :\n    print<\/span> (' df is empty<\/span> ')\nelse<\/span> :\n    print<\/span> (' df is not empty<\/span> ')\n\ndf is empty\n<\/strong><\/span><\/pre>\n
 \ucd9c\ub825\uc740 DataFrame\uc774 \ube44\uc5b4 \uc788\uc74c\uc744 \uc54c\ub824\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 \ubc18\uba74\uc5d0 \ube44\uc5b4 \uc788\uc9c0 \uc54a\uc740 DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df_full = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],\n                   ' points<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28],\n                   ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12]})\n\n#view DataFrame\n<\/span>print<\/span> (df_full)\n\n  team points assists rebounds\n0 A 18 5 11\n1 B 22 7 8\n2 C 19 7 10\n3 D 14 9 6\n4 E 14 12 6\n5 F 11 9 5\n6 G 20 9 9\n7:28 4 12\n<\/span><\/strong><\/pre>\n
 len()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec DataFrame\uc774 \ube44\uc5b4 \uc788\ub294\uc9c0 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #check if DataFrame is empty<\/span>\nlen<\/span> ( df_full.index<\/span> ) ==<\/span> 0\n\nFalse<\/span><\/span><\/strong><\/pre>\n
 \uc774 \ud568\uc218\ub294 DataFrame\uc774 \ube44\uc5b4 \uc788\uc9c0 \uc54a\uc74c\uc744 \uc54c\ub824\uc8fc\ub294 False \ub97c<\/strong> \ubc18\ud658\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \uadf8\ub9ac\uace0 if else<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uba74 \uc0ac\uc6a9\uc790 \uc815\uc758 \ucd9c\ub825\uc744 \ubc18\ud658\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #check if DataFrame is empty and return output<\/span>\nif<\/span> len<\/span> ( df_full.index<\/span> ) ==<\/span> 0<\/span> :\n    print<\/span> (' df is empty<\/span> ')\nelse<\/span> :\n    print<\/span> (' df is not empty<\/span> ')\n\ndf is not empty\n<\/strong><\/span><\/pre>\n
 \ucd9c\ub825\uc740 DataFrame\uc774 \ube44\uc5b4 \uc788\uc9c0 \uc54a\ub2e4\ub294 \uac83\uc744 \uc54c\ub824\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Pandas\uc5d0\uc11c \ub2e4\ub978 \uc77c\ubc18\uc801\uc778 \uc791\uc5c5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 Pandas DataFrame\uc5d0\uc11c \uc140\uc774 \ube44\uc5b4 \uc788\ub294\uc9c0 \ud655\uc778\ud558\ub294 \ubc29\ubc95<\/a>
 Pandas DataFrame\uc5d0\uc11c \uc140 \uac12\uc744 \uc5bb\ub294 \ubc29\ubc95<\/a>
 \uc5f4 \uc774\ub984\uc744 \uc0ac\uc6a9\ud558\uc5ec \ube48 Pandas DataFrame\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc774 \ube44\uc5b4 \uc788\ub294\uc9c0 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. len ( df.index ) == 0 \uc774 \ud2b9\uc815 \uad6c\ubb38\uc740 DataFrame\uc758 \uc778\ub371\uc2a4 \uc5f4 \uae38\uc774\uac00 0\uc778\uc9c0 \ud655\uc778\ud569\ub2c8\ub2e4. \uc774\ub294 \uc804\uccb4 DataFrame\uc774 \ube44\uc5b4 \uc788\ub294\uc9c0 \ud655\uc778\ud558\ub294 \uac83\uacfc \uac19\uc2b5\ub2c8\ub2e4. DataFrame\uc774 \ube44\uc5b4 \uc788\uc73c\uba74 \uc774 \uad6c\ubb38\uc740 True \ub97c \ubc18\ud658\ud569\ub2c8\ub2e4. \uadf8\ub807\uc9c0 \uc54a\uc73c\uba74 False \ub97c \ubc18\ud658\ud569\ub2c8\ub2e4. DataFrame\uc774 \ube44\uc5b4 \uc788\ub294\uc9c0 \uc54c\ub824\uc8fc\ub294 \uc0ac\uc6a9\uc790 \uc815\uc758 \ud14d\uc2a4\ud2b8\ub97c \uc778\uc1c4\ud558\ub824\uba74 \uac04\ub2e8\ud55c […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-4135","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPandas DataFrame\uc774 \ube44\uc5b4 \uc788\ub294\uc9c0 \ud655\uc778\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Pandas DataFrame\uc774 \ube44\uc5b4 \uc788\ub294\uc9c0 \ud655\uc778\ud558\ub294 \ubc29\ubc95\uc744 \uc608\uc640 \ud568\uaed8 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, 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Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/ko\/#website\"},\"datePublished\":\"2023-07-13T08:45:51+00:00\",\"dateModified\":\"2023-07-13T08:45:51+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/ko\/#\/schema\/person\/600556789b7d79cbaa9d9f0c721b74f4\"},\"description\":\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Pandas DataFrame\uc774 \ube44\uc5b4 \uc788\ub294\uc9c0 \ud655\uc778\ud558\ub294 \ubc29\ubc95\uc744 \uc608\uc640 \ud568\uaed8 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